Induction machine Research Papers - Academia.edu (original) (raw)

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- Engineering, Artificial Intelligence, Machine Learning, Data Mining
- by Edison Silva
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- Engineering, Industry, Low Power, Induction machine
- by Antonio Cataliotti
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- Harmonic Analysis, Frequency Estimation, Induction machine, Induction Motor
- by Soumitro Banerjee
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- Nonlinear dynamics, Bifurcation theory, Bifurcation, Autonomic System
- by Carlos Ortega
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- Engineering, Control Strategy, Induction machine, Matrix Converter

This paper describes the dynamic behaviour of a doubly-fed induction machine, operating with wind turbine. The rotor circuit of the machine consists only of a generator-side converter working under abnormal condition at stator side (fault condition and voltage drop take place in transmission lines of the grid system). The induction machine model is based on the stationary reference frame and the control-unit model is based on the line-voltage oriented reference frame. The generator-side controller provides good decoupling between active and reactive power. A powerful MATLAB/SIMULINK was used for the simulation of the wind energy conversion system of a 4 kW wind generator. The simulation results of the generator side converter show that the speed, torque and the ϕ sin (power factor) can be regulated independently to match the reference signals. The effects of assumed abnormal condition in the grid system are discussed with regard to stator current and rotor current of the induction m...

- by Somchai Chatratana
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- Wind turbine, Reactive Power, Oscillations, Wind energy conversion system
- by Tarek Aroui and +1
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- Spectrum, Leonardo, Induction machine, Magnetic Resonance Coupling
- by Marc Bodson
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- Proceedings, Constant Time Delay, Induction machine
- by Colin Hansen
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- Induction machine, Induction Motor
- by O. Touhami
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- Electrical Engineering, Electrical Machine, Induction machine, Experimental Tests
- by Behrooz Mirafzal
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- Engineering, Electrical Machine, Induction machine, Induction Motor
- by Waldemar Swiercz
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- Machine Learning, XML Schema, Semantic Mapping, Data Integrity
- by Thomas Lipo
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- Low Frequency, Stability Analysis, Steady state, Induction machine
- by Gerard-Andre Capolino
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- Engineering, Neural Network, Working Conditions, Steady state
- by Chris Edrington
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- Power Electronics, Computational Modeling, Embedded Systems, Control system
- by vincent lanfranchi
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- Engineering, Vibrations, Vibration, Physical sciences
- by Karel Jezernik
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- Engineering, Digital Signal Processor, Sensorless Control, Induction machine
- by Aldo Garcia
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- Reactive Power, Reference model, Constant Time Delay, Operant Conditioning
- by David Dorrell
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- Engineering, Performance Assessment, Induction machine, Induction Motor
- by Victor Pires
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- Pattern Recognition, Radial Basis Function, Fault Detection, Neural Network
- by Rishav Sharma
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- Human Geography, Computer Science, Artificial Intelligence, Image Processing
- by Luis Romeral
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- Engineering, Fault Detection, Condition Monitoring, Fault diagnosis
- by David Dorrell and +2
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- Electric machines, Reference Frame, Steady state, Vector control

This paper presents a new signature for detection of rotor faults in induction motors, such as eccentricity and broken rotor bars, that uses the external magnetic field analysis. The proposed method is based on the variations of axial flux density in the presence of these faults. The low frequency part of the magnetic field spectrum is particularly analyzed. The analysis

- by Rémus Pusca
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- Engineering, Low Frequency, Magnetic field, Spectral analysis
- by Philippe Allenbach
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- Engineering, Power Plant, Control system, Dynamic Simulation
- by David Howe
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- Engineering, Computer Science, Biomedical Engineering, Automotive Engineering

In today's data-centric world many applications rely on data that comes from multitude of different sources. To integrate that data two major operations are performed: finding semantic mapping between data sources, and transforming structure of the data sources. One of the well-established standards for storing and sharing structured and semantically described data is XML. This paper describes system called XMapper,

- by Lukasz Kurgan and +1
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- Machine Learning, XML Schema, Semantic Mapping, Data Integrity

The performance of doubly fed induction generator (DFIG) variable speed wind turbine under network fault is studied using simulator developed in MATLAB/SIMULINK. Simulation results show the transient behavior of the doubly fed induction generator when a sudden short circuit at the generator bus is introduced. After the clearance of the short-circuit fault the control schemes manage to restore the wind

- by Naggar Saad
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- Electric Power Systems, Wind turbine, Dynamic Response, Induction machine
- by Jose Restrepo
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- Sensitivity Analysis, Mathematical Model, Sensitivity, Corona
- by Faouzi M'SAHLI
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- Adaptive Control, Automation & COntrol, Nonlinear Control, Resistance
- by Luciano Neto
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- Differential Equations, Computer Simulation, Steady state, Impedance
- by Mahendra Pal Sharma
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- Equivalent Circuit, Reference Frame, Eigenvalues, Induction machine
- by Surya Santoso and +1
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- Distributed System, Power system distribution, Transient analysis, Steady state

The paper presents a new double layer three phase 4 to 6 pole-changing winding, with 48 slots and 6 terminals. In order to obtain a higher fundamental winding factor when winding is 6-pole connected, a degree of asymmetry is accepted for the winding when 4-pole connected. The new winding is compared with a well known two-layer winding presented in literature.

- by Ovidiu Craiu
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- Finite element method, Double Layer, Electrical Machine, Induction machine
- by Gerard-Andre Capolino
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- Engineering, Neural Network, Parameter estimation, Induction machine

Brushless doubly fed iuduction machine has recently attracted attention in variable speed generators and motor drives. In order to have a high performance control, a precise dynamic model is required. This paper aims at introducing a model of brushless doubly fed induction machine taking core loss into account. The details of model derivation are outlined and the torque relation is expressed in the general reference frame. The model is then used for simulation of the dynamic performance of the machine. The error introduced by neglecting core loss effect is also shown.

- by Antoni Arias
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- Engineering, Control Strategy, Induction machine, Matrix Converter
- by Gerard-Andre Capolino
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- Engineering, Decision Making, Signal Processing, Pattern Recognition
- by Moshe Rudowski
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- Modeling, Stability, Electric Power Systems, Hybrid Vehicle
- by Luciano Neto
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- Power Supply, Induction machine, Induction Motor, Rural Area

- A usual argument against GPC is its demand for processing power. In industry, however, this is not a serious argument if better control performance can be reached. As the development of new processors with increased performance takes... more

- by Ralph Kennel
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- Control Systems, Sampling methods, Error Correction, Predictive models

Multivariable supervision systems for online monitoring of induction motors allow large versatility and diagnosis robustness. As regards rotor faults, the diagnostic procedure based on sideband current components may fail due to the presence of interbar currents that reduce the degree of rotor asymmetry and, thus, the amplitude of these spectral components. On the other hand, the interbar currents produce core

- by Carlo Concari
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- Engineering, Condition Monitoring, Differential Diagnosis, Fault analysis
- by Pierre Sicard and +1
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- Digital Signal Processing, Fundamental Frequency, Vector control, Development Methodology
- by Jose Camacho
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- Harmonic Analysis, Simulation, Electromagnetic Induction, Reference Frame
- by A. Arkkio and +2
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- Electrical Engineering, Low Frequency, Finite element simulation, Induction machine
- by Abdelmalek Khezzar
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- Engineering, Industrial, Fault diagnosis, Induction machine

The subject of machine condition monitoring is charged with developing new technologies to diagnose the machinery problems. Different methods of fault identification have been developed and used effectively to detect the machine faults at an early stage using different machine quantities, such as current, voltage, speed, efficiency, temperature and vibrations. One of the principal tools for diagnosing rotating machinery problems has been the vibration analysis. Through the use of different signal processing techniques, it is possible to obtain vital diagnostic information from vibration profile before the equipment catastrophically fails. A problem with diagnostic techniques is that they require constant human interpretation of the results. The logical progression of the condition monitoring technologies is the automation of the diagnostic process. The research has been underway for a long time to automate the diagnostic process. Recently, artificial intelligent tools, such as expert systems, neural network and fuzzy logic, have been widely used with the monitoring system to support the detection and diagnostic tasks. This paper reviews the progress made in electrical drive condition monitoring and diagnostic research and development in general and induction machine drive condition monitoring and diagnostic research and development, in particular, since its inception. Attempts are made to highlight the current and future issues involved for the development of automatic diagnostic process technology.

- by Ahmed Saleh
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- Signal Processing, Fuzzy Logic, Condition Monitoring, Neural Network
- by Chris C Mi
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- Finite Element Methods, Finite element method, FEM, Finite Element Analysis